Evidence map›Paper›PMID 27769924›Full record

ArticleJournal of physiology, Paris2016

Evolution of electric communication signals in the South American ghost knifefishes (Gymnotiformes: Apteronotidae): A phylogenetic comparative study using a sequence-based phylogeny.

Adam R Smith, Melissa R Proffitt, Winnie W Ho, Claire B Mullaney, Javier A Maldonado-Ocampo, Nathan R Lovejoy, José A Alves-Gomes, G Troy Smith

Abstract read
In one paragraph

Article in Journal of physiology, Paris, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.3field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 4 countries.

Adam R SmithDepartment of Biology, Indiana University, 1001 E. 3rd St, Bloomington, IN 47405, USA. Electronic address: adarsmit@indiana.edu.
Melissa R ProffittDepartment of Biology, Indiana University, 1001 E. 3rd St, Bloomington, IN 47405, USA.
Winnie W HoDepartment of Biology, University of Washington, Seattle, WA 98195, USA.
Claire B MullaneyDepartment of Biology, Indiana University, 1001 E. 3rd St, Bloomington, IN 47405, USA.
Javier A Maldonado-OcampoLab. de Ictiología, Unidad de Ecología y Sistemática (UNESIS), Depto. de Biología, Facultad de Ciencias, Pontificia Universidad Javeriana, Carrera 7 N° 43-82, Edf. 53, Lab. 108B, Bogotá, Colombia.
Nathan R LovejoyDepartment of Biological Sciences, University of Toronto Scarborough, Toronto, Ontario M1C 1A4, Canada.
José A Alves-GomesLaboratório de Fisiologia Comportamental e Evolução (LFCE), Instituto Nacional de Pesquisas de Amazônia (INPA), Av. André Araújo, 2936 Petrópolis, Manaus, AM 69067-375, Brazil.
G Troy SmithDepartment of Biology, Indiana University, 1001 E. 3rd St, Bloomington, IN 47405, USA.
Indiana University Bloomington · USNational Institute of Amazonian Research · BRPontificia Universidad Javeriana · COUniversity of Toronto · CAUniversity of Washington · US

Funding

Common Themes in Reproductive DiversityT32HD049336 · NICHD · TRUSTEES OF INDIANA UNIVERSITY · PI DALE R SENGELAUB · 2005 to 2026
$4.4M
NICHD NIH HHS T32 HD049336
6 · The paper itself

Abstract

The electric communication signals of weakly electric ghost knifefishes (Gymnotiformes: Apteronotidae) provide a valuable model system for understanding the evolution and physiology of behavior. Apteronotids produce continuous wave-type electric organ discharges (EODs) that are used for electrolocation and communication. The frequency and waveform of EODs, as well as the structure of transient EOD modulations (chirps), vary substantially across species. Understanding how these signals have evolved, however, has been hampered by the lack of a well-supported phylogeny for this family. We constructed a molecular phylogeny for the Apteronotidae by using sequence data from three genes (cytochrome c oxidase subunit 1, recombination activating gene 2, and cytochrome oxidase B) in 32 species representing 13 apteronotid genera. This phylogeny and an extensive database of apteronotid signals allowed us to examine signal evolution by using ancestral state reconstruction (ASR) and phylogenetic generalized least squares (PGLS) models. Our molecular phylogeny largely agrees with another recent sequence-based phylogeny and identified five robust apteronotid clades: (i) Sternarchorhamphus+Orthosternarchus, (ii) Adontosternarchus, (iii) Apteronotus+Parapteronotus, (iv) Sternarchorhynchus, and (v) a large clade including Porotergus, 'Apteronotus', Compsaraia, Sternarchogiton, Sternarchella, and Magosternarchus. We analyzed novel chirp recordings from two apteronotid species (Orthosternarchus tamandua and Sternarchorhynchus mormyrus), and combined data from these species with that from previously recorded species in our phylogenetic analyses. Some signal parameters in O. tamandua were plesiomorphic (e.g., low frequency EODs and chirps with little frequency modulation that nevertheless interrupt the EOD), suggesting that ultra-high frequency EODs and "big" chirps evolved after apteronotids diverged from other gymnotiforms. In contrast to previous studies, our PGLS analyses using the new phylogeny indicated the presence of phylogenetic signals in the relationships between some EOD and chirp parameters. The ASR demonstrated that most EOD and chirp parameters are evolutionarily labile and have often diversified even among closely related species.

Indexed as

Animal CommunicationBiological EvolutionPhylogenyAnimalsElectric OrganFish ProteinsGymnotiformesSouth AmericaFish ProteinsAnimal communicationApteronotidaeChirpsElectric organ dischargePhylogeneticsSignal evolution

Identifiers

PMID27769924
PMCPMC5836322
OpenAlexW2532329307

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.